Health professionals in Kenya: strategies to expand reach and reduce brain drain of psychiatric nurses and psychiatrists.

This paper highlights the extent of the brain drain in relation to human resources for health (HRH) that is currently challenging Kenya, and suggests strategies that have the potential to change current working environments and improve HRH retention rates. Governments in partnership with health professional bodies and regulators could improve the working conditions for psychiatrists and mental health nurses: by promoting career choices in mental health; by providing accessible professional development opportunities; and by easing workload pressures by expanding service reach through thoughtfully planned and delivered task-shifting to primary care. While these strategies have the potential to make a significant difference, the evidence suggests a brain drain will continue as long as working conditions remain sub-optimal and global HRH shortages persist.

Informing the scale-up of Kenya's nursing workforce: a mixed methods study of factors affecting pre-service training capacity and production.

BACKGROUND: Given the global nursing shortage and investments to scale-up the workforce, this study evaluated trends in annual student nurse enrolment, pre-service attrition between enrolment and registration, and factors that influence nurse production in Kenya. METHODS: This study used a mixed methods approach with data from the Regulatory Human Resources Information System (tracks initial student enrolment through registration) and the Kenya Health Workforce Information System (tracks deployment and demographic information on licensed nurses) for the quantitative analyses and qualitative data from key informant interviews with nurse training institution educators and/or administrators. Trends in annual student nurse enrolment from 1999 to 2010 were analyzed using regulatory and demographic data. To assess pre-service attrition between training enrolment and registration with the nursing council, data for a cohort that enrolled in training from 1999 to 2004 and completed training by 2010 was analyzed. Multivariate logistic regression was used to test for factors that significantly affected attrition. To assess the capacity of nurse training institutions for scale-up, qualitative data was obtained through key informant interviews. RESULTS: From 1999 to 2010, 23,350 students enrolled in nurse training in Kenya. While annual new student enrolment doubled between 1999 (1,493) and 2010 (3,030), training institutions reported challenges in their capacity to accommodate the increased numbers. Key factors identified by the nursing faculty included congestion at clinical placement sites, limited clinical mentorship by qualified nurses, challenges with faculty recruitment and retention, and inadequate student housing, transportation and classroom space. Pre-service attrition among the cohort that enrolled between 1999 and 2004 and completed training by 2010 was found to be low (6%). CONCLUSION: To scale-up the nursing workforce in Kenya, concurrent investments in expanding the number of student nurse clinical placement sites, utilizing alternate forms of skills training, hiring more faculty and clinical instructors, and expanding the dormitory and classroom space to accommodate new students are needed to ensure that increases in student enrolment are not at the cost of quality nursing education. Student attrition does not appear to be a concern in Kenya compared to other African countries (10 to 40%).

The global summit on nurse faculty migration.

As global demand for health care workers burgeons, information is scant regarding the migration of faculty who will train new nurses. With dual roles as clinicians and educators, and corresponding dual sets of professional and legal obligations, nurse faculty may confront unique circumstances in migration that can impact nations' ability to secure an adequate, stable nursing workforce. In a seminal effort to address these concerns, the Honor Society of Nursing, Sigma Theta Tau International, and the International Council of Nurses invited a diverse group of international experts to a summit designed to elucidate forces that drive nurse faculty migration. The primary areas of consideration were the impact on nurse faculty migration of rapid health care workforce scale-up, international trade agreements, and workforce aging. Long-term summit goals included initiating action affecting national, regional, and global supplies of nurse educators and helping to avert catastrophic failure of health care delivery systems caused by an inadequate ability to educate next-generation nurses.

Barriers to enrolment into a professional upgrading programme for enrolled nurses in Kenya.

INTRODUCTION: Nurses play a key role in the provision of health care. Over 70% of the nurses in Kenya are Enrolled Community Health Nurses (ECHNs). AMREF in partnership with Nursing Council of Kenya and the Ministry of Health pioneered an eLearning Nurse Upgrading Programme. The purpose of this study was to identify barriers that hindered enrolment into the programme. METHODS: A descriptive cross-sectional design was used. A sample of 532 ECHNs was interviewed from four provinces. Data was collected using a pre-tested self administered questionnaire. Analysis was done using SPSS computer software. Descriptive statistics were calculated for all variables and chi-square tests used to determine variables that were associated with enrolment. Mann Whitney U-test was used for continuous variables. RESULTS: A third (29.7%) of the nurses were from Rift Valley province and 17.9% from Coast. Majority (75%) were from public health facilities. The mean age of the nurses was 40.6 years. The average monthly income was KES 22,497.68 (USD 294). Awareness of the upgrading programme was high (97%) among the nurses. The cost of fees was the main (74.1%) barrier to enrolment in all the provinces and across all the health facilities. The type of health facility was significantly (p < 0.05) associated with enrolment. Nurses from faith-based health facilities were less likely to have enrolled. CONCLUSION: Awareness of the upgrading programme is high. The cost of upgrading programme, age and working in a faith-based health facility are the main barriers to enrolment. Intervention that fund nurses to upgrade would increase nurse enrolment.

The impact of out-migration on the nursing workforce in Kenya.

OBJECTIVE: To examine the impact of out-migration on Kenya's nursing workforce. STUDY SETTING: This study analyzed deidentified nursing data from the Kenya Health Workforce Informatics System, collected by the Nursing Council of Kenya and the Department of Nursing in the Ministry of Medical Services. STUDY DESIGN: We analyzed trends in Kenya's nursing workforce from 1999 to 2007, including supply, deployment, and intent to out-migrate, measured by requests for verification of credentials from destination countries. PRINCIPLE FINDINGS: From 1999 to 2007, 6 percent of Kenya's nursing workforce of 41,367 nurses applied to out-migrate. Eighty-five percent of applicants were registered or B.Sc.N. prepared nurses, 49 percent applied within 10 years of their initial registration as a nurse, and 82 percent of first-time applications were for the United States or United Kingdom. For every 4.5 nurses that Kenya adds to its nursing workforce through training, 1 nurse from the workforce applies to out-migrate, potentially reducing by 22 percent Kenya's ability to increase its nursing workforce through training. CONCLUSIONS: Nurse out-migration depletes Kenya's nursing workforce of its most highly educated nurses, reduces the percentage of younger nurses in an aging nursing stock, decreases Kenya's ability to increase its nursing workforce through training, and represents a substantial economic loss to the country.

Developing a nursing database system in Kenya.

OBJECTIVE: To describe the development, initial findings, and implications of a national nursing workforce database system in Kenya. PRINCIPAL FINDINGS: Creating a national electronic nursing workforce database provides more reliable information on nurse demographics, migration patterns, and workforce capacity. Data analyses are most useful for human resources for health (HRH) planning when workforce capacity data can be linked to worksite staffing requirements. As a result of establishing this database, the Kenya Ministry of Health has improved capability to assess its nursing workforce and document important workforce trends, such as out-migration. Current data identify the United States as the leading recipient country of Kenyan nurses. The overwhelming majority of Kenyan nurses who elect to out-migrate are among Kenya's most qualified. CONCLUSIONS: The Kenya nursing database is a first step toward facilitating evidence-based decision making in HRH. This database is unique to developing countries in sub-Saharan Africa. Establishing an electronic workforce database requires long-term investment and sustained support by national and global stakeholders.